Unsupervised learning of reflexive and action-based affordances to model adaptive navigational behavior
Here we introduce a cognitive model capable to model a variety of behavioral domains and apply it to a navigational task. We used place cells as sensory representation, such that the cells’ place fields divided the environment into discrete states. The robot learns knowledge of the environ...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2010-05-01
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Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnbot.2010.00002/full |